• 07/11/2017 material-led workshop on «Techno-Catastrophes» at University of the Underground, Sandberg Institute, Amsterdam
  • 22/11/2017 Expierence-based workshop «Vague Space» at Jung von Matt Academy, Hamburg
  • 03-05/01/2018 Per-Forming Clouds Workshop at weissensee school of art and design berlin
  • 19-21/04/2018 Digital Fabrication "Chocolate Aided Design" seminar at CAS/MAS Designing Technology, ZHdK
  • 24-27/05/2018 Participatory Installation "Per-Forming Clouds: in search for the perfect cloud" at 3DaysofDesign, Design Museum Copenhagen, Denmark
  • 14/06/2018 Co-Facilitating "Clouds and Rocks: Imagining Alien Terrains" Workshop on Alien Matter Landscapes at ECAM/ Critical Media Lab, FHNW Basel
  • 03/07/2018 Lab of Narrative Materials @ KISDtalks Series
  • 27-31/08/2018 Fictional Materials at «material as experiment» participatory exhibition with weissensee school of art and design berlin, Bauhaus Dessau and materialarchiv.ch

NARRATIVE MATERIALS












  IT´S ALL JUST AIR...












  TERRANAUTICS












  PCLOUDS – NEBULA












  PER-FORMING CLOUDS












  MATERIAL AKTIV DENKEN












  DISASTER PLAYGROUND












  FICTIONAL MATERIALS












  METASOLID












  FUTURE OF CARBON












  CONDITIONING PATTERNS












  UNTER STROM












  DIGITAL TRACES

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PCLOUDS – METAPHOR APPARATUS

multi material installation

In this installation, new performative interactions with the material and immaterial through a sensual focus on form-giving and language production can be explored.

 

Water vapour becomes a strange medium and raises questions on its materiality. We are forced to look on our own traces in that material, on our behaviour, methods and tools to capture it.

 

The gaseous, lively, mutable, oscillating, cloudy agent will impose its own rules, while being playfully transformed by heating, cooling, moisturising through a control system of the cloud machinery. Boundaries can be defined by setting the conditions for the vapour to appear, being organized and re-interpreted by a machine learning algorithm.